Modeling Northern Abalone, Haliotis Kamtschatkana, Population Stock and Recruitment in British Columbia

Zhang, Zane; Campbell, Alan D.; Lessard, Joanne

doi:10.2983/0730-8000(2007)26[1099:mnahkp]2.0.co;2

Cited by 19 publications

(16 citation statements)

References 23 publications

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“…We modeled poaching activity with mean removal rates varying stochastically from 10% to 50% of the population per year (Zhang et al . ). We factored in an Allee effect by assuming population extinction below a threshold of 0.15 abalone/m 2 .…”

Section: Methodsmentioning

confidence: 97%

Timing of Protection of Critical Habitat Matters

Martin

Camaclang

Possingham

et al. 2016

CONSERVATION LETTERS

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With many conservation issues requiring urgent action, determining how much data are needed to inform good decisions is a common problem. We examine this problem in relation to the protection of critical habitat, the habitat required for species’ recovery and persistence. The protection of critical habitat is an essential step in the threatened species recovery process. It is also one of the most contentious and protracted decisions faced by environmental agencies. Uncertainty about what constitutes critical habitat, and the challenges of balancing competing societal objectives and of protecting critical habitat once identified are stalling the recovery process. We offer insight into this challenge by investigating how long we can afford to spend identifying critical habitat before opportunities to recover a species are lost. We illustrate our decision model using Canada's threatened northern abalone (Haliotis kamtschatkana). Our method delivers the stopping time at which habitat protection must begin, despite uncertainty, in order to avoid an unacceptable risk of extinction.

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Section: Methodsmentioning

confidence: 97%

Timing of Protection of Critical Habitat Matters

Martin

Camaclang

Possingham

et al. 2016

CONSERVATION LETTERS

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“…To estimate the number of recruits from abalone samples in Australia, the size range for the individuals at the recruitment age was arbitrarily selected in a knife-edge fashion based on the estimated population sizes at this age and the two neighbouring ages (Shepherd et al, 2001). To estimate the amount of recruitment from abalone samples in BC, variances of individual size distributions at the recruitment age and the neighbouring two ages were arbitrarily assumed (Zhang et al, 2007). The subjective assumptions could be avoided, if the growth model with individual variability information had been available.…”

Section: Discussionmentioning

confidence: 99%

Use of Bayesian hierarchical models to estimate northern abalone, Haliotis kamtschatkana, growth parameters from tag-recapture data

2009

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“…Number of sea otter pelts traded provided an abundance index before and during the maritime fur trade, recognizing many early traded pelts were likely older pelts passed through First Nations generations (Sloan & Dick, ; Supporting Information Table S2). After sea otter extirpation, we estimated abalone density change using a published stock‐recruitment relationship at 10% natural mortality rate (Zhang, Campbell, & Lessard, ; Supporting Information Table S2).…”

Section: Methodsmentioning

confidence: 99%

Diverse knowledge systems reveal social–ecological dynamics that inform species conservation status

Lee

Thorley

Watson

et al. 2018

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Understanding changes over historical timescales is essential to gauge conservation status of a species. Modern ecological data typically neglect past magnitudes of change, which fortunately can be evaluated by bridging disparate knowledge sources. We synthesized zooarchaeological, historical, traditional, and western science knowledge to document changes in relative abundance of key species in Canada's northern abalone social–ecological system (SES) from the Holocene to present. Integrated models fit to traditional and western science data revealed 3.7% annual population decline from 1940s to 2010s for large abalone, although traditional knowledge density estimates were 9.5× higher than those derived from western science. Abalone are presently scarce compared to the mid‐1900s, but more abundant than before the early 1800s, calling their endangered status into question. Linking multiple knowledge sources can build SES understanding, facilitate power sharing, and support ecologically sustainable and socially just conservation outcomes.

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Modeling Northern Abalone, Haliotis Kamtschatkana, Population Stock and Recruitment in British Columbia

Cited by 19 publications

References 23 publications

Timing of Protection of Critical Habitat Matters

Timing of Protection of Critical Habitat Matters

Use of Bayesian hierarchical models to estimate northern abalone, Haliotis kamtschatkana, growth parameters from tag-recapture data

Diverse knowledge systems reveal social–ecological dynamics that inform species conservation status

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